See It Work
See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

AI AGENT MARKETPLACE

Teams of agents that run your operation. Not chat about it.

Get started with pre-engineered templates for AI Assistants, AI Agents, and coordinated Agent Teams... ready to adapt to your plant, your data, and your operating envelope.

54
Templates
|
9
Industries
|
12
Agent Teams
Plant OPS · North ShiftLIVE
Active agents
0
Decisions/hr
0.0K
Open alerts
0
Governed
0%
AG-01
Predictive maintenance
Vibration + thermal — Compressor C-3
HAS-02
AG-04
Energy optimizer
Proposing load-shed for Line 4 · awaiting approval
PROPOSING
AG-07
Quality inspector
Defect rate +2.1σ on Line 2 · escalating
ESCALATE
AG-11
Shift handover
Summary prepared · 18 items · ready for 22:00
HAS-01

AGENT LIBRARY

Browse the marketplace.

54 templates across 9 industries. AI Assistants, AI Agents, and Agent Teams. More added each quarter.

54 templates
AvailableAgent Team

Aeration Energy Optimisation Team

Target Outcome

AERATION ENERGY REDUCTION

10—20%

$60K–$240K annual savings · mid-size plants

Water & Wastewater
AvailableAgent Team

Storm Flow Management Team

Target Outcome

ANNUAL CSO VOLUME

25% reduction

50% fewer permit exceedances · 85%+ storage utilisation

Water & Wastewater
AvailableAgent Team

Chemical Dosing Optimisation Team

Target Outcome

CHEMICAL CONSUMPTION

10—15% reduction

$80K–$300K annual savings · 50 ML/d plant

Water & Wastewater
AvailableAgent Team

Wet Weather Process Control Team

Target Outcome

STORM EFFLUENT EXCURSIONS

Zero

Biological recovery 2–5 days → under 2 days · zero clarifier blowouts

Water & Wastewater
AvailableAgent Team

Agentic Downstream Oil & Gas Rotating Equipment Optimization Team

Target Outcome

UNPLANNED DOWNTIME

Significant Reduction

Proactive multi-objective intervention · compressors, pumps & turbines

Oil & Gas
AvailableAgent Team

Agentic Automation Team for Liner Analysis and Scheduling For Crushers in The Mining Industry

Target Outcome

CRUSHER DOWNTIME

Significant Reduction

Predictive scheduling · liner wear rate management

Mining
AvailableAgent Team

Autonomous Agentic AI Team for Advanced Predictive Maintenance

Target Outcome

UNPLANNED ASSET FAILURES

Significant Reduction

Predictive intervention ahead of failure · 100% compliance review

Manufacturing+3 more
AvailableAgent Team

Autonomous Agentic AI Team For OEE Optimization In Manufacturing

Target Outcome

OVERALL EQUIPMENT EFFECTIVENESS

60—75% → Higher

Baseline 60—75% · improvement across all three OEE pillars

Manufacturing
AvailableAgent Team

Autonomous Agentic AI Teams for Substation Operations

Target Outcome

EQUIPMENT UPTIME

10—20%

Improvement through predictive condition-based management

Energy & Utilities
AvailableAgent Team

Autonomous Supply Chain Optimization Team

Target Outcome

EXCEPTION RESPONSE TIME

Hours → Minutes

Routine exceptions resolved in minutes · structured escalation for high-impact

Manufacturing+4 more
AvailableAgent Team

Pharmaceutical Cold Chain Crisis Response Team

Target Outcome

CRISIS RESPONSE TIME

Hours → Minutes

Detection & initial response in minutes · GDP/cGMP audit-ready throughout

Pharmaceutical+1 more
AvailableAgent Team

Autonomous Pharmaceutical CSTR Process Intelligence Team

Target Outcome

PROCESS YIELD & THROUGHPUT

Improved

Coordinated multi-variable CSTR optimization · improved batch consistency

Manufacturing+2 more
AvailableAI Agent

Pump Predictive Maintenance Advisor

Target Outcome

UNPLANNED PUMP FAILURES

50% reduction

40% cut in emergency maintenance cost · 7–30 days early warning

Water & Wastewater
AvailableAI Agent

Blower Predictive Maintenance Advisor

Target Outcome

BLOWER UNPLANNED FAILURES

Zero

Fleet efficiency within 2% of baseline · continuous monitoring

Water & Wastewater
AvailableAI Agent

Storm Event Preparation Advisor

Target Outcome

OVER-PREPARATION COST

50% reduction

Zero under-preparation events · 24–72 hr advance brief

Water & Wastewater
AvailableAI Agent

Permit Exceedance Predictive Advisor

Target Outcome

PERMIT EXCEEDANCES

Zero

Up to 8 hours early warning · ≥85% true-positive rate

Water & Wastewater
AvailableAI Agent

Asset Lifecycle & Capital Planning Advisor

Target Outcome

CAPEX EFFICIENCY GAIN

15—25%

5-year forecast accuracy from ±30% to ±15% · condition-based

Water & Wastewater
AvailableAI Agent

Agentic Anomaly Detection & Root Cause Analysis Agent

Target Outcome

ANOMALY DETECTION LEAD TIME

Hours—days early

Before production impact · automated causal reasoning

Manufacturing+4 more
AvailableAI Agent

Agentic Compliance and Safety Officer Agent (Standards Guardian)

Target Outcome

POLICY COMPLIANCE RATE

99%

Continuous automated monitoring · 95% predicted incident prevention

Manufacturing+4 more
AvailableAI Agent

Agentic Energy Management Agent (Efficiency Expert)

Target Outcome

ENERGY COST REDUCTION

Measurable reduction

Proactive load management · peak demand penalty avoidance

Manufacturing+4 more
AvailableAI Agent

Agentic Equipment Monitoring Agent (Health Monitor)

Target Outcome

ANOMALY DETECTION LEAD TIME

70% earlier

vs threshold monitoring · 80% nuisance alarm reduction

Manufacturing+4 more
AvailableAI Agent

Agentic Equipment Performance Agent (Availability Specialist)

Target Outcome

UNPLANNED DOWNTIME

Measurable reduction

Proactive condition-based interventions · extended asset life

Manufacturing+4 more
AvailableAI Agent

Agentic Knowledge Synthesis & Decision Support Agent

Target Outcome

DECISION CYCLE TIME

Same-session

Synthesised multi-agent intelligence · OEE-aligned priorities

Manufacturing+4 more
AvailableAI Agent

Agentic Maintenance Coordinator Agent (Predictive Maintenance Reliability Strategist)

Target Outcome

UNPLANNED DOWNTIME

Significant reduction

Emergency repairs cost 2—3x planned · condition-based prevention

Manufacturing+4 more

REFERENCE DEPLOYMENT

What does a full build-out look like?

From data foundation to autonomous operations — four phases, progressive autonomy, and operator confidence built in sequence. Adaptable to any industry.

01Months 0–6

Data foundation + first Agents

Connect operational data across OT and IT. Deploy first predictive maintenance and condition monitoring agents. Zero write access — pure insight value. Builds operator trust and data quality in parallel.

Predictive AgentsMonitoring
02Months 6–12

Expand agents + first Agent Team

Deploy specialist agents across key asset classes and process areas. Run your first coordinated Agent Team as a proof of value — target 10 to 20% improvement on a single high-value process.

Specialist AgentsRCA AssistantFirst Team
03Months 12–24

Multi-team operations + advisory

Deploy coordinated Agent Teams across multiple processes. Strategic advisory agents go live once 12 months of operational data is available for long-range planning and capital allocation.

Agent TeamsStrategic Advisory
04Month 24+

Autonomous process control

Full autonomous control teams with an established track record. Highest value, highest scrutiny. Expanded autonomy only with documented operational and regulator comfort.

Autonomous Control

Progressive autonomy. Regulator comfort built in sequence. Ten templates. 24 months. Full coverage.

PRODUCTION-PROVEN

Not a concept. In production.

XMPro templates are deployed at Tier 1 mining, energy, and water operators — delivering measurable results across predictive maintenance, process optimisation, and agentic operations.

VERIFIED RESULT — OIL & GAS
$16M Saved every year
18% Reduction in field service trips
95% Reduction in maintenance planning

Customer Case Study

Using XMPro, a global oil and gas supermajor rapidly composed and deployed an intelligent oil well maintenance solution in just three months -- achieving over $8 million in calculated value within the first six months.

VERIFIED RESULT — MINING
$10M Saved every year
30% Reduction in conveyor downtime
9,000t Saved every month

Customer Case Study

Using XMPro, the world's largest potash mining company rapidly composed and deployed a predictive maintenance solution for over 50 miles of underground conveyors in just 30 days, achieving $10 million in savings every year by reducing unplanned downtime by over 30%.

VERIFIED RESULT — ENTERPRISE SCALE
6 Sites with in-house adoption
1,000+ Assets monitored
35+ Operational, tactical and strategic use cases

Customer Case Study

XMPro enabled the in-house engineering team at a major North American miner to independently compose 35 operational, tactical and strategic solutions across six sites, scaling to monitor and manage over 1,000 diverse critical assets.

"XMPro successfully triggered a real predictive maintenance alert for a Haul Truck that appears to have a Strut issue - This was particularly impressive, considering we have only deployed the development environment a few weeks ago"

-- Advanced Predictive Maintenance Lead, major global mining company

AUTONOMOUS OPERATIONS

Now pushing the frontier.

MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.

0+
Days Autonomous
Safety-critical petrochemical operations
3-0+
Agents Per Team
Specialized agents coordinating per use case
0+
Teams Deployable
Scale across sites and business units
0%
Governed
Every agent, every decision, every action — auditable

SCOPE A TEMPLATE FOR YOUR SITE

Tell us your operational challenge.

Share your details and our AI will help identify which templates fit your situation, what data you'd need, and what a typical rollout sequence looks like for your site.